Data Scientist
2 days ago
Job Description:
We are looking for an experienced Data Scientist (AI/ML) with 4+ years of expertise in machine learning, deep learning, and AI-driven solutions. The ideal candidate will have a strong analytical mindset, proficiency in Python, TensorFlow, PyTorch, and cloud-based ML services, and a passion for solving complex data problems.
Responsibilities:
- Develop, deploy, and optimize AI/ML models for various business use cases.
- Analyze large datasets to extract insights and patterns using statistical techniques.
- Implement NLP, computer vision, and predictive analytics models based on business needs.
- Work with structured and unstructured data from diverse sources.
- Optimize ML models for scalability, efficiency, and performance.
- Collaborate with data engineers and software developers to integrate AI solutions into applications.
- Stay up-to-date with the latest AI trends, frameworks, and technologies.
Required Skills:
Strong proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
Experience with AI,LLMS,CNNS,RAG, cloud-based ML services (AWS, GCP, or Azure).
Hands-on expertise in NLP, computer vision, or deep learning techniques.
Knowledge of MLOps, model deployment, and monitoring.
Strong problem-solving and analytical skills.
Familiarity with Big Data tools (Spark, Hadoop) and data visualization (Tableau, Power BI, Matplotlib) is a plus.
Preferred Qualifications:
- Experience with AutoML and Generative AI.
- Proficiency in containerization (Docker, Kubernetes) for ML model deployment.
- Google/AWS/Azure ML certifications.
Benefits:
Competitive salary & performance bonuses
Hybrid work
Opportunities for learning and career growth
Exposure to cutting-edge AI/ML projects
Apply Now
Job Types: Full-time, Permanent
Pay: ₹552, ₹3,500,000.00 per year
Application Question(s):
- Mention your last working date
- Working or serving your notice period?
Experience:
- LLMs: 1 year (Preferred)
- CNNs: 1 year (Preferred)
- RAG: 1 year (Preferred)
- AI/ML: 4 years (Preferred)
- Data scientist: 4 years (Preferred)
- Big data: 4 years (Preferred)
- Google Cloud Platform: 4 years (Preferred)
Work Location: In person
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